Information

• Instructor: Jian Tang
• Trimester: Fall 2025
• When:
  • Class: 3:30 - 6:30 PM EST, Monday
  • Exception: 3:30 - 6:30 PM EST, Wednesday on Oct.15
• Where:
  • C-Ste-Cath, Caracas
• Office hour:
  • Jian Tang (Instructor): TBD
  • Zhihao Zhan (TA): TBD
  • Xinyu Yuan (TA): TBD
• Discord:
  • Join the discord for course discussion via this link

Objectives

• Develop a basic understanding of machine learning principles.
• Learn the fundamentals of deep learning, including feedforward neural networks, convolutional neural networks, recurrent neural networks, and transformers.
• Explore advanced topics in deep learning, such as natural language understanding, graph representation learning, deep generative models.
• Gain experience using PyTorch to apply deep learning techniques to solve practical problems.

Evaluation

• Homework: 20%
• Class Presentations: 10%
• Course Projects: 30%
  • Research Proposal: 5%
  • Poster: 10%
  • Report: 15%
• Final Exam: 40%

Staff

Jian Tang

Instructor

Zhihao Zhan

Teaching Assistant

Xinyu Yuan

Teaching Assistant